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Inoue S, Nagao J, Kawamoto K, Kan-o K, Fukuyama S, Sasaki S, Kudo S, Okamoto I, Sera T. Overstretching alveolar epithelial type II cells decreases surfactant secretion via actin polymerization and intracellular trafficking alteration. Heliyon 2024; 10:e33499. [PMID: 39040228 PMCID: PMC11260927 DOI: 10.1016/j.heliyon.2024.e33499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 05/27/2024] [Accepted: 06/21/2024] [Indexed: 07/24/2024] Open
Abstract
Pulmonary surfactant is essential for maintaining proper lung function. Alveolar epithelial type II (AE2) cells secrete surfactants via lamellar bodies (LBs). In tidal loading during each breath, the physiological cyclic stretching of AE2 cells promotes surfactant secretion. Excessive stretching inhibits surfactant secretion, which is considered to contribute to the development of lung damage. However, its precise mechanism remains unknown. This study tested whether actin polymerization and intracellular transport are required for pulmonary surfactant secretion and the association of actin polymerization and transport in identical human AE2-derived A549 cells using live-cell imaging, not in the bulk cells population. We found that overstretching approximately doubled actin polymerization into filaments (F-actin) and suppressed LB secretion by half in the fluorescent area ratio, compared with physiological stretching (F-actin: 1.495 vs 0.643 (P < 0.01); LB: 0.739 vs 0.332 (P < 0.01)). An inhibitor of actin polymerization increased LB secretion. Intracellular tracking using fluorescent particles revealed that cyclic stretching shifted the particle motion perpendicularly to the direction of stretching according to the orientation of the F-actin (proportion of perpendicular axis motion prior particle: 0h 40.12 % vs 2h 63.13 % (P < 0.01)), and particle motion was restricted over time in the cells subjected to overstretching, indicating that overstretching regulates intracellular transport dynamics (proportion of stop motion particle: 0h 1.01 % vs 2h 11.04 % (P < 0.01)). These findings suggest that overstretching changes secretion through the cytoskeleton: overstretching AE2 cells inhibits pulmonary surfactant secretion, at least through accelerating actin polymerization and decreasing intracellular trafficking, and the change in actin orientation would modulate intracellular trafficking.
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Affiliation(s)
- Shigesato Inoue
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Mechanical Engineering, Graduate School of Engineering, Kyushu University, Fukuoka, Japan
| | - Junpei Nagao
- Department of Mechanical Engineering, Graduate School of Engineering, Kyushu University, Fukuoka, Japan
| | - Kouhei Kawamoto
- Department of Mechanical Engineering, Graduate School of Engineering, Kyushu University, Fukuoka, Japan
| | - Keiko Kan-o
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Satoru Fukuyama
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Respiratory Medicine, National Hospital Organization Omuta National Hospital, Fukuoka, Japan
| | - Saori Sasaki
- Department of Mechanical Engineering, Faculty of Engineering, Kyushu University, Fukuoka, Japan
| | - Susumu Kudo
- Department of Mechanical Engineering, Faculty of Engineering, Kyushu University, Fukuoka, Japan
| | - Isamu Okamoto
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshihiro Sera
- Department of Mechanical Engineering, Faculty of Engineering, Kyushu University, Fukuoka, Japan
- Department of Medical and Robotic Engineering Design, Faculty of Advanced Engineering, Tokyo University of Science, Tokyo, Japan
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2
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Martins GL, Ferreira DS, Carneiro CM, Nogueira-Paiva NC, Bianchi AGC. Trajectory-driven computational analysis for element characterization in Trypanosoma cruzi video microscopy. PLoS One 2024; 19:e0304716. [PMID: 38829872 PMCID: PMC11146708 DOI: 10.1371/journal.pone.0304716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 05/14/2024] [Indexed: 06/05/2024] Open
Abstract
Optical microscopy videos enable experts to analyze the motion of several biological elements. Particularly in blood samples infected with Trypanosoma cruzi (T. cruzi), microscopy videos reveal a dynamic scenario where the parasites' motions are conspicuous. While parasites have self-motion, cells are inert and may assume some displacement under dynamic events, such as fluids and microscope focus adjustments. This paper analyzes the trajectory of T. cruzi and blood cells to discriminate between these elements by identifying the following motion patterns: collateral, fluctuating, and pan-tilt-zoom (PTZ). We consider two approaches: i) classification experiments for discrimination between parasites and cells; and ii) clustering experiments to identify the cell motion. We propose the trajectory step dispersion (TSD) descriptor based on standard deviation to characterize these elements, outperforming state-of-the-art descriptors. Our results confirm motion is valuable in discriminating T. cruzi of the cells. Since the parasites perform the collateral motion, their trajectory steps tend to randomness. The cells may assume fluctuating motion following a homogeneous and directional path or PTZ motion with trajectory steps in a restricted area. Thus, our findings may contribute to developing new computational tools focused on trajectory analysis, which can advance the study and medical diagnosis of Chagas disease.
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Affiliation(s)
- Geovani L. Martins
- Postgraduate Program in Computer Science, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
- Department of Computing, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
| | - Daniel S. Ferreira
- Department of Computing, Federal Institute of Education, Science, and Technology of Ceará, Maracanaú, CE, Brazil
| | - Claudia M. Carneiro
- Nucleus of Biological Sciences Research, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
- Department of Clinical Analysis, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
| | - Nivia C. Nogueira-Paiva
- Nucleus of Biological Sciences Research, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
| | - Andrea G. C. Bianchi
- Postgraduate Program in Computer Science, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
- Department of Computing, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
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3
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Marandi G, Hassanzadeh A. The rapid synthesis of 1,10-phenanthroline-5,6-diimine (Phendiimine) and its fascinating photo-stimulated behavior. Sci Rep 2024; 14:8464. [PMID: 38605215 PMCID: PMC11009400 DOI: 10.1038/s41598-024-59272-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Accepted: 04/09/2024] [Indexed: 04/13/2024] Open
Abstract
Here, for the first time, we report synthesis of 1,10-phenanthroline-5,6-diimine (Phendiimine) based on an acid catalysed SN2 reaction of 1,10-phenanthroline-5,6-dione and 2-picolylamine in EtOH as a solvent. The synthesized Phendiimine molecule showed excellent photo-sensitivity against visible light, together with photoluminescence in both water and ethanol and also, it showed electrochemical activity with Fe electrode in ethanol and H2SO4 solution. Tauc plot also showed Phendiimine is a direct band-gap semiconductor. The hot-point probe test also showed that it is a n-type semiconductor. The UV-vis. absorption maximum shift in two solvents (water and ethanol) demonstrates the solvatochromism behavior of the molecule. The practical significance of this work and its guiding implication for future related research can be outlined as follows. Based on the results obtained, it appears that the Phendiimine molecule could revolutionize the medical field, potentially in the design of artificial eyes, increasing the yield of photovoltaic cells through enhanced heat transfer, improving computers and industrial photo-cooling systems, serving as photo-controller in place of piezoelectric devices, functioning as electronic opt couplers, controlling remote lasers, changing convection in photothermal heaters, designing miniaturized real photo-stimulated motors, creating photo or thermal switches through spin crossover complexes, developing electronic light-dependent resistance (LDR) devices, constructing X-ray and gamma-ray detectors, designing intelligent clothing, creating photo dynamic tumour therapy (PDT) complexes, singlet fission materials in solar cells and more.
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Affiliation(s)
- Ghasem Marandi
- Department of Organic Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran.
| | - Ali Hassanzadeh
- Department of Physical Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran
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4
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Yavuz S, Kabbech H, van Staalduinen J, Linder S, van Cappellen W, Nigg A, Abraham T, Slotman J, Quevedo M, Poot R, Zwart W, van Royen M, Grosveld F, Smal I, Houtsmuller A. Compartmentalization of androgen receptors at endogenous genes in living cells. Nucleic Acids Res 2023; 51:10992-11009. [PMID: 37791849 PMCID: PMC10639085 DOI: 10.1093/nar/gkad803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 09/06/2023] [Accepted: 09/20/2023] [Indexed: 10/05/2023] Open
Abstract
A wide range of nuclear proteins are involved in the spatio-temporal organization of the genome through diverse biological processes such as gene transcription and DNA replication. Upon stimulation by testosterone and translocation to the nucleus, multiple androgen receptors (ARs) accumulate in microscopically discernable foci which are irregularly distributed in the nucleus. Here, we investigated the formation and physical nature of these foci, by combining novel fluorescent labeling techniques to visualize a defined chromatin locus of AR-regulated genes-PTPRN2 or BANP-simultaneously with either AR foci or individual AR molecules. Quantitative colocalization analysis showed evidence of AR foci formation induced by R1881 at both PTPRN2 and BANP loci. Furthermore, single-particle tracking (SPT) revealed three distinct subdiffusive fractional Brownian motion (fBm) states: immobilized ARs were observed near the labeled genes likely as a consequence of DNA-binding, while the intermediate confined state showed a similar spatial behavior but with larger displacements, suggesting compartmentalization by liquid-liquid phase separation (LLPS), while freely mobile ARs were diffusing in the nuclear environment. All together, we show for the first time in living cells the presence of AR-regulated genes in AR foci.
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Affiliation(s)
- Selçuk Yavuz
- Department of Pathology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Hélène Kabbech
- Department of Cell Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jente van Staalduinen
- Department of Cell Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Simon Linder
- Division of Oncogenomics, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Wiggert A van Cappellen
- Erasmus Optical Imaging Center, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Alex L Nigg
- Erasmus Optical Imaging Center, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Tsion E Abraham
- Erasmus Optical Imaging Center, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Johan A Slotman
- Erasmus Optical Imaging Center, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Marti Quevedo
- Department of Cell Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Raymond A Poot
- Department of Cell Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Wilbert Zwart
- Division of Oncogenomics, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Laboratory of Chemical Biology and Institute for Complex Molecular Systems, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Martin E van Royen
- Department of Pathology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Frank G Grosveld
- Department of Cell Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ihor Smal
- Department of Cell Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Adriaan B Houtsmuller
- Department of Pathology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Erasmus Optical Imaging Center, Erasmus University Medical Center, Rotterdam, The Netherlands
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5
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Muñiz‐Chicharro A, Votapka LW, Amaro RE, Wade RC. Brownian dynamics simulations of biomolecular diffusional association processes. WIRES COMPUTATIONAL MOLECULAR SCIENCE 2022. [DOI: 10.1002/wcms.1649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Abraham Muñiz‐Chicharro
- Molecular and Cellular Modeling Group Heidelberg Institute for Theoretical Studies (HITS) Heidelberg Germany
- Faculty of Biosciences and Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp) Heidelberg University Heidelberg Germany
| | | | | | - Rebecca C. Wade
- Molecular and Cellular Modeling Group Heidelberg Institute for Theoretical Studies (HITS) Heidelberg Germany
- Center for Molecular Biology (ZMBH), DKFZ‐ZMBH Alliance, and Interdisciplinary Center for Scientific Computing (IWR) Heidelberg University Heidelberg Germany
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6
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Parutto P, Heck J, Lu M, Kaminski C, Avezov E, Heine M, Holcman D. High-throughput super-resolution single-particle trajectory analysis reconstructs organelle dynamics and membrane reorganization. CELL REPORTS METHODS 2022; 2:100277. [PMID: 36046627 PMCID: PMC9421586 DOI: 10.1016/j.crmeth.2022.100277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 05/11/2022] [Accepted: 07/25/2022] [Indexed: 11/03/2022]
Abstract
Super-resolution imaging can generate thousands of single-particle trajectories. These data can potentially reconstruct subcellular organization and dynamics, as well as measure disease-linked changes. However, computational methods that can derive quantitative information from such massive datasets are currently lacking. We present data analysis and algorithms that are broadly applicable to reveal local binding and trafficking interactions and organization of dynamic subcellular sites. We applied this analysis to the endoplasmic reticulum and neuronal membrane. The method is based on spatiotemporal segmentation that explores data at multiple levels and detects the architecture and boundaries of high-density regions in areas measuring hundreds of nanometers. By connecting dense regions, we reconstructed the network topology of the endoplasmic reticulum (ER), as well as molecular flow redistribution and the local space explored by trajectories. The presented methods are available as an ImageJ plugin that can be applied to large datasets of overlapping trajectories offering a standard of single-particle trajectory (SPT) metrics.
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Affiliation(s)
- Pierre Parutto
- Group of Data Modeling and Computational Biology, IBENS, Ecole Normale Supérieure, 75005 Paris, France
| | - Jennifer Heck
- Research Group Functional Neurobiology at the Institute of Developmental Biology and Neurobiology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Meng Lu
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
| | - Clemens Kaminski
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
| | - Edward Avezov
- UK Dementia Research Institute at the University of Cambridge and Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0AH, UK
| | - Martin Heine
- Research Group Functional Neurobiology at the Institute of Developmental Biology and Neurobiology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - David Holcman
- Group of Data Modeling and Computational Biology, IBENS, Ecole Normale Supérieure, 75005 Paris, France
- DAMPT, University of Cambridge, DAMPT and Churchill College, Cambridge CB30DS, UK
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7
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Laurent F, Verdier H, Duval M, Serov A, Vestergaard CL, Masson JB. TRamWAy: Mapping physical properties of individual biomolecule random motion in large scale single-particle tracking experiments. Bioinformatics 2022; 38:3149-3150. [PMID: 35482486 DOI: 10.1093/bioinformatics/btac291] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 03/14/2022] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
MOTIVATION Single-molecule localization microscopy allows studying the dynamics of biomolecules in cells and resolving the biophysical properties of the molecules and their environment underlying cellular function. With the continuously growing amount of data produced by individual experiments, the computational cost of quantifying these properties is increasingly becoming the bottleneck of single molecule analysis. Mining these data require an integrated and efficient analysis toolbox. RESULTS We introduce TRamWAy, a modular Python library that features: 1. a conservative tracking procedure for localization data, 2. a range of sampling techniques for meshing the spatio-temporal support of the data, 3. computationally efficient solvers for inverse models, with the option of plugging in user-defined functions, 4. a collection of analysis tools and a simple web-based interface. AVAILABILITY TRamWAy is a Python library and can be installed with pip & conda. The source code is available at https://github.com/DecBayComp/TRamWAy. MANUAL AND TUTORIALS available online at https://tramway-tour.readthedocs.io.
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Affiliation(s)
- François Laurent
- Decision and Bayesian Computation, Computational Biology Department, Neuroscience Department, CNRS USR 3756, CNRS UMR 3571, Institut Pasteur, Paris, France.,Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Paris, F-75015, France
| | - Hippolyte Verdier
- Decision and Bayesian Computation, Computational Biology Department, Neuroscience Department, CNRS USR 3756, CNRS UMR 3571, Institut Pasteur, Paris, France.,Histopathology and Bio-Imaging Group, Sanofi R&D, Vitry-Sur-Seine, France.,Université Paris Cité, UFR de physique, Paris, 75013, France
| | - Maxime Duval
- Decision and Bayesian Computation, Computational Biology Department, Neuroscience Department, CNRS USR 3756, CNRS UMR 3571, Institut Pasteur, Paris, France
| | - Alexander Serov
- Decision and Bayesian Computation, Computational Biology Department, Neuroscience Department, CNRS USR 3756, CNRS UMR 3571, Institut Pasteur, Paris, France
| | - Christian L Vestergaard
- Decision and Bayesian Computation, Computational Biology Department, Neuroscience Department, CNRS USR 3756, CNRS UMR 3571, Institut Pasteur, Paris, France
| | - Jean-Baptiste Masson
- Decision and Bayesian Computation, Computational Biology Department, Neuroscience Department, CNRS USR 3756, CNRS UMR 3571, Institut Pasteur, Paris, France
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8
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Mytiliniou M, Wondergem JAJ, Schmidt T, Heinrich D. Impact of neurite alignment on organelle motion. J R Soc Interface 2022; 19:20210617. [PMID: 35135294 PMCID: PMC8825987 DOI: 10.1098/rsif.2021.0617] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Intracellular transport is pivotal for cell growth and survival. Malfunctions in this process have been associated with devastating neurodegenerative diseases, highlighting the need for a deeper understanding of the mechanisms involved. Here, we use an experimental methodology that leads neurites of differentiated PC12 cells into either one of two configurations: a one-dimensional configuration, where the neurites align along lines, or a two-dimensional configuration, where the neurites adopt a random orientation and shape on a flat substrate. We subsequently monitored the motion of functional organelles, the lysosomes, inside the neurites. Implementing a time-resolved analysis of the mean-squared displacement, we quantitatively characterized distinct motion modes of the lysosomes. Our results indicate that neurite alignment gives rise to faster diffusive and super-diffusive lysosomal motion than the situation in which the neurites are randomly oriented. After inducing lysosome swelling through an osmotic challenge by sucrose, we confirmed the predicted slowdown in diffusive mobility. Surprisingly, we found that the swelling-induced mobility change affected each of the (sub-/super-)diffusive motion modes differently and depended on the alignment configuration of the neurites. Our findings imply that intracellular transport is significantly and robustly dependent on cell morphology, which might in part be controlled by the extracellular matrix.
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Affiliation(s)
- Maria Mytiliniou
- Leiden Institute of Physics, Huygens-Kamerlingh Onnes Laboratory, Leiden University, 2333 CA Leiden, The Netherlands
| | - Joeri A J Wondergem
- Leiden Institute of Physics, Huygens-Kamerlingh Onnes Laboratory, Leiden University, 2333 CA Leiden, The Netherlands
| | - Thomas Schmidt
- Leiden Institute of Physics, Huygens-Kamerlingh Onnes Laboratory, Leiden University, 2333 CA Leiden, The Netherlands
| | - Doris Heinrich
- Leiden Institute of Physics, Huygens-Kamerlingh Onnes Laboratory, Leiden University, 2333 CA Leiden, The Netherlands.,Institute for Bioprocessing and Analytical Measurement Techniques, Rosenhof, 37308 Heilbad Heiligenstadt, Germany.,Faculty for Mathematics and Natural Sciences, Technische Universität Ilmenau, 98693 Ilmenau, Germany.,Fraunhofer Institute for Silicate Research ISC, 97082 Würzburg, Germany
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9
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Lavancier F, Le Guével R. Spatial birth–death–move processes: Basic properties and estimation of their intensity functions. J R Stat Soc Series B Stat Methodol 2021. [DOI: 10.1111/rssb.12452] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Frédéric Lavancier
- Laboratoire de Mathématiques Jean Leray Université de Nantes Nantes France
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10
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Xu Z, Zhu H, Wang H. Segmentation of the urothelium in optical coherence tomography images with dynamic contrast. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-210012RR. [PMID: 34390233 PMCID: PMC8363479 DOI: 10.1117/1.jbo.26.8.086002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 07/26/2021] [Indexed: 05/13/2023]
Abstract
SIGNIFICANCE Speckle variation induced by intracellular motion (IM) in the urothelium was observed in optical coherence tomography (OCT) images. IM can be used as a dynamic contrast to segment the urothelium by comparing two sequential OCT images. This method opens the possibility of specifically tracking the distribution of urothelial cancerous cells for identifying the microinvasion of bladder tumors. APPROACH OCT images were acquired ex vivo with fresh porcine bladder tissue. IM was analyzed by tracking speckle variation using autocorrelation function, then quantified with constrained regularization method for inverting data (CONTIN method) to identify the decorrelation time (DT) of the speckle variations. Variance analysis was also conducted to show IM amplitude and distribution in the urothelium. The segmentation of the urothelium was demonstrated with OCT images with a visible urothelial layer and OCT images with an invisible urothelial layer. RESULTS Significant speckle variation induced by IM was observed in the urothelium. However, the distribution of the IM is heterogeneous. The DTs are mostly concentrated between 1 and 30 ms. With the IM as a dynamic contrast, the urothelium can be accurately and exclusively segmented, even the urothelial layer is invisible in normal OCT images. CONCLUSIONS IM can be used as a dynamic contrast to exclusively track urothelial cell distribution. This contrast may provide a new mechanism for OCT to image the invasion depth and pattern of urothelial cancerous cells for accurately substaging of bladder cancer.
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Affiliation(s)
- Zhuo Xu
- Miami University, Department of Chemical, Paper, and Biomedical Engineering, Oxford, Ohio, United States
| | - Hui Zhu
- Urology Section Louis Stokes Cleveland Veterans Affairs Medical Center. Cleveland, Ohio, United States
- Cleveland Clinic Foundation, Glickman Urological and Kidney Institute, Department of Urology, Ohio, United States
| | - Hui Wang
- Miami University, Department of Chemical, Paper, and Biomedical Engineering, Oxford, Ohio, United States
- Address all correspondence to Hui Wang,
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11
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Briane V, Salomon A, Vimond M, Kervrann C. A computational approach for detecting micro-domains and confinement domains in cells: a simulation study. Phys Biol 2020; 17:025002. [DOI: 10.1088/1478-3975/ab5e1d] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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